/**
 * Copyright 2021-2022 Huawei Technologies Co., Ltd
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
#ifndef MINDSPORE_CCSRC_BACKEND_KERNEL_COMPILER_GPU_ARRAYS_MESHGRID_GPU_KERNEL_H
#define MINDSPORE_CCSRC_BACKEND_KERNEL_COMPILER_GPU_ARRAYS_MESHGRID_GPU_KERNEL_H

#include <cstdint>
#include <memory>
#include <string>
#include <utility>
#include <vector>
#include <map>

#include "plugin/device/gpu/kernel/gpu_kernel.h"

namespace mindspore {
namespace kernel {
class MeshgridGpuKernelMod : public NativeGpuKernelMod {
 public:
  MeshgridGpuKernelMod() {}
  ~MeshgridGpuKernelMod() override = default;

  bool Init(const std::vector<KernelTensor *> &inputs, const std::vector<KernelTensor *> &outputs) override;

  int Resize(const std::vector<KernelTensor *> &inputs, const std::vector<KernelTensor *> &outputs) override;

  bool Launch(const std::vector<KernelTensor *> &inputs, const std::vector<KernelTensor *> &workspace,
              const std::vector<KernelTensor *> &outputs, void *stream_ptr) override {
    if (is_null_input_) {
      return true;
    }
    cuda_stream_ = stream_ptr;
    return kernel_func_(this, inputs, workspace, outputs);
  }

  std::vector<KernelAttr> GetOpSupport() override;

 private:
  template <typename T>
  bool LaunchKernel(const std::vector<KernelTensor *> &inputs, const std::vector<KernelTensor *> &workspace,
                    const std::vector<KernelTensor *> &outputs);

  template <typename T, typename S, typename G>
  bool LaunchComplexKernel(const std::vector<KernelTensor *> &inputs, const std::vector<KernelTensor *> &workspace,
                           const std::vector<KernelTensor *> &outputs);

  using MeshgridFunc =
    std::function<bool(MeshgridGpuKernelMod *, const std::vector<kernel::KernelTensor *> &,
                       const std::vector<kernel::KernelTensor *> &, const std::vector<kernel::KernelTensor *> &)>;
  static std::vector<std::pair<KernelAttr, MeshgridFunc>> func_list_;
  MeshgridFunc kernel_func_;

  void *cuda_stream_{nullptr};
  size_t data_size_;
  std::vector<int64_t> input_shapes_;
  std::vector<int64_t> output_shape_;
  size_t input_size_;
  size_t input_count_;
  size_t output_size_;
  size_t output_count_;
  bool swap_indexing_;
  bool is_null_input_;
};
}  // namespace kernel
}  // namespace mindspore

#endif  // MINDSPORE_CCSRC_BACKEND_KERNEL_COMPILER_GPU_ARRAYS_MESHGRID_GPU_KERNEL_H
